Abstract
Purpose of Review
8.5 to 50% of total joint arthroplasty (TJA) patients are reported to have preoperative malnutrition. The narrative review identifies the relationship between preoperative malnutrition for TJA patients and postoperative outcomes as well as the use of perioperative nutritional intervention to improve postoperative complications.
Recent Findings
Biochemical/laboratory, anthropometric, and clinical measures have been widely used to identify preoperative nutritional deficiency. Specifically, serum albumin is the most prevalent used marker in TJA because it has been proven to be correlated with protein-energy malnutrition due to the surgical stress response. However, there remains a sustained incidence of preoperative malnutrition in total knee arthroplasty (TKA) and total hip arthroplasty (THA) patients due to a lack of agreement among the available nutritional screening tools and utilization of isolated laboratory, anthropometric, and clinical variables. Previous investigations have also suggested preoperative malnutrition to be a prognostic indicator of complications in general, cardiac, vascular, and orthopaedic surgery specialties.
Summary
Serum albumin, prealbumin, transferrin, and total lymphocyte count (TLC) can be used to identify at-risk patients. It is important to employ these markers in the preoperative setting because malnourished TKA and THA patients have shown to have worse postoperative outcomes including prolonged length, increased reoperation rates, increased infection rates, and increased mortality rates. Although benefits from high-protein and high-anti-inflammatory diets have been exhibited, additional research is needed to confirm the use of perioperative nutritional intervention as an appropriate treatment for preoperative TJA patients.
Keywords: Malnutrition, Total knee arthroplasty, Total hip arthroplasty, Nutritional supplementation, Complications
Introduction
Malnutrition is defined as an inability to achieve metabolic and nutritional requirements [1]. The American Society of Parenteral and Enteral Nutrition (ASPEN) categorizes malnutrition as starvation-related, acute disease-related, or chronic disease-related [2]. Nutritional deficiency is especially problematic in the hospital setting, with 30–50% of all hospitalized patients being identified as malnourished [3]. Preoperative malnutrition has been reported to be as high as 50% in patients undergoing surgical procedures and affects two out of every three patients in major surgeries [4•, 5]. Furthermore, when looking at patients undergoing primary or revision total joint arthroplasty (TJA), 8.5 to 50% of patients are reported to have laboratory markers suggestive of malnutrition [6, 7].
Contemporary literature demonstrates a considerable association between preoperative malnutrition and adverse total joint arthroplasty (TJA) outcomes, including length of stay (LOS), reoperation, readmission, and infection rates [8]. One recent study determined a substantial relationship between nutritional deficiency defined by hypoalbuminemia and increased risk of readmission, infection, general complications, and mortality [9••]. Such association is explained, in part, by the surgical stress response that induces inflammatory, acute-phase, hormonal, and genomic responses [10]. The metabolic activation creates a catabolic state which requires the patient to have adequate nutrition prior to the surgery or else risk detrimental outcomes [8, 11]. In an attempt to mitigate adverse surgical outcomes, organizations including the European Society for Clinical Nutrition and Metabolism [8], American Society of Parenteral Enteral Nutrition [1, 12], and the American Society for Enhanced Recovery with Perioperative Quality Initiative [13] developed various surgical nutritional guidelines. Some of the nutritional screening assessments utilized in the clinical setting include the Nutritional Risk Screening 2002 (NRS-2002), Mini Nutritional Assessment (MNA), Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), and the Subjective Global Assessment (SGA) [14, 15]. However, there is no consensus on which screening tool should be considered the “gold standard,” and the lack of unanimity is often cited as a reason for the sustained incidence of preoperative malnutrition [16•].
Through greater awareness of the nutritional measures, parameters, and perioperative interventions available, orthopaedic surgeons can reduce the burden of adverse outcomes associated with malnutrition in TJA. Therefore, the aim of this review was to (1) identify and describe common measurements of nutritional status; (2) evaluate the relationship between malnutrition and postoperative lower extremity TJA outcomes; (3) evaluate whether the use of perioperative nutritional intervention improves outcomes; and (4) briefly discuss other contributors to adverse outcomes that interplay with malnutrition.
Nutritional Assessment
The standard measures of malnutrition are biochemical/laboratory, anthropometric, and clinical. These measures are widely used preoperatively for various types of surgeries [12].
Biochemical and Laboratory Measures
Serum albumin is the traditional standard biochemical marker for nutritional status. Serum albumin levels have been found to correlate closely with the degree of protein-energy malnutrition and exemplify the relationship between nutritional deficiency and systemic inflammation [4•, 17, 18]. Previous investigations have shown preoperative hypoalbuminemia (<3.5 g/dL) to be a prognostic indicator of increased mortality and negative outcomes in general, cardiac, vascular, and orthopaedic surgery specialties [4•, 17–24]. Although serum albumin is the most widely used biochemical measure, various other biochemical markers such as prealbumin (<10–15 mg/dL), total lymphocyte count (<1500 cells/mm3), transferrin (<200 mg/dL), and hemoglobin (<13 g/dL) are also used (Table 1) [14, 25–28]. It is critical to note the absence of consensus on the reference ranges used to assess nutritional status [14]. However, levels have been consistently reported within specific ranges, and fine-tuning of the indistinctness will provide a better prediction of adverse patient outcomes [25–28].
Table 1.
Criteria for defining malnutrition
Biochemical marker | Value indicating malnutrition |
---|---|
Albumin | <3.5 g/dL |
Prealbumin | <10–15 mg/dL |
Total lymphocyte count | <1500 cells/mm3 |
Transferrin | <200 mg/dL |
Hemoglobin | <13 g/dL |
Similar to albumin, depletion of serum prealbumin demonstrates a relationship between malnutrition and systemic inflammation; however, prealbumin has shown to be a more sensitive marker for acute nutritional status changes due to its shorter half-life [26, 29–31]. One study found a significant reduction in prealbumin with an energy-restricted diet of 20 g (p < 0.01), 40 g (p < 0.05), or 60 g (p < 0.005) protein/day and no significance found for albumin levels [31]. Furthermore, prealbumin is easily quantified on laboratory instruments and is less affected by liver disease than various other serum proteins [27]. Depletion of total lymphocyte count (TLC), transferrin, and hemoglobin are also viable biomarkers for nutritional status [14, 23, 28, 32]. The decrease in TLC seen in patients with malnutrition is not clearly understood; however, it is most likely to be related to thymus atrophy and lack of protein needed to produce lymphocytes [33, 34]. Transferrin is a serum protein that may produce iron-deficiency state inaccuracies as levels are elevated due to an increased amount of iron absorption [25]. Lastly, malnutrition may lead to vitamin B12, folate, or iron deficiency, resulting in low hemoglobin [35]. As with albumin, deficiency in TLC, transferrin, and hemoglobin also produce worse postoperative outcomes measured by LOS, postoperative complications, and mortality [23, 32, 36].
Preoperative malnutrition in Orthopaedic Surgery is most often assessed through biochemical measures [37]. Specifically, serum albumin has been the most widely studied stand-alone biochemical measure which was found to predict malnutrition in orthopaedic patients and correlate to worse postoperative outcomes, including any complications (odds ratio, OR = 1.5; 95% CI, 1.2–1.7), serious complications (OR = 1.4; 95% CI, 1.0–1.9), surgical site infection (OR = 2.0; 95% CI, 1.5–2.8), LOS (OR = 0.20; 95% CI, 0.12–0.27), and unplanned hospital readmission (OR = 1.4; 95% CI, 1.2–1.7) [38]. Several standardized scoring systems have been developed to provide an integrated preoperative nutritional status assessment for orthopaedic patients based on multiple laboratory values. The Rainey-MacDonald nutritional index (RMNI) combines patients’ serum albumin and transferrin levels and has proven to accurately predict postoperative complications (sensitivity = 79.1%) [39, 40]. Conversely, the Prognostic Nutritional Index (PNI) provides a weighted score based on patients’ serum album and TLC levels and has been associated with aseptic wound problems in TJA patients (OR = 0.858; 95% CI, 0.771–0.955; p = 0.015) [41]. The routine use of biochemical parameter-based scoring systems provides a reasonably accurate and readily available indication for underlying malnutrition. However, such scoring systems should be used with caution. Basing nutritional assessment solely on laboratory values may lack the comprehensive assessment of patients’ nutritional history, comorbidities, socioeconomic situation, and anthropometrics required to establish a diagnosis and an underlying cause of malnutrition.
Anthropometric measures
Anthropometric measures of malnutrition include quantitative measurements of the muscle, bone, and adipose tissue to assess body composition [42]. The main elements of anthropometry used in orthopaedics to determine nutritional status include body weight/BMI, mid-upper arm/calf circumference, and triceps skinfold thickness [43].
Low BMI is a commonly accepted criterion for nutritional assessment and is the most frequently utilized anthropometric measure for nutritional assessment [44]. Traditionally, BMI <18.5 kg/m2 has been used as an indicator of malnutrition [14, 44–46]; however, several investigations have shown that a cut-off of <20.5 kg/m2 (OR = 31.0; 95% CI, 14.21–67.44)[47] or even <22 kg/m2 for patients older than 70 years (as defined by European Society of Clinical Nutrition and Metabolism) [44] may provide higher accuracy in assessing nutritional risk. Calf circumference (CC) is used primarily as an anthropometric measurement because a decrease in CC is correlated with loss of subcutaneous fat and muscle mass [48]. The utility of CC can be seen primarily as a screening tool for the elderly, encompassed in the MNA that defines malnutrition as a CC <28.0 cm for males and < 25.0 cm for females [49]. Similarly, mid-upper arm circumference (MUAC) is used for the same reason, though primarily to indicate acute malnutrition in children [50, 51]. The World Health Organization (WHO) recommends using 11.5 cm and 12.5 cm as cut-offs for admission and discharge malnutrition criteria in children under 5 years old, respectively [50]. Reference ranges for adolescents and adults have been variably defined; however, one study found a MUAC of 24.0 cm may be an effective cut-off value to determine malnutrition [51]. MUAC is performed more frequently than CC as a screening tool in hospitalized and preoperative patients due to its ease of use [52–54]. As with the biochemical measures, anthropometric measures have been used to predict postoperative outcomes and are associated with LOS, postoperative complications, and morbidity [4•, 32, 55–57].
CC and MUAC are some of the more commonly used anthropometric measurements in orthopaedics [37]. Additionally, various nutritional screening tools used in orthopaedics have utilized anthropometric measures, including the MNA, which creates a scoring system based on the patient’s BMI [58]. The viability of MNA has been extensively studied and proven to be successful by accurately predicting malnutrition in patients, resulting in an increased mortality rate [59, 60•]. MNA has also shown to be a better predictor of wound healing following hip fracture compared to the Rainey-MacDonald nutritional index mentioned earlier [61].
Clinical measures
Clinical measurements can be defined as a change in physiological function secondary to a lack of adequate nutrition; therefore, they resemble the pathologic sequelae of malnutrition [62]. The nutritional deficiency is usually specific to a particular nutrient. For example, iodine deficiency may be associated with thyroid dysfunction, and vitamin A deficiency may cause visual disorders and compromised night vision [63]. While not directly relevant to the orthopaedic examination, such manifestations should raise suspicion among orthopaedic providers and prompt further evaluation. This is critical, given that clinical measures have been shown to predict malnutrition-associated complications more accurately than several biochemical, anthropometric, or combination of the two markers [64].
The Subjective Global Assessment (SGA) is one such method and evaluates nutrition based on clinical judgment [14, 64–66]. SGA utilizes patient history as well as physical examination findings to classify patients into one of three categories: (A) well-nourished, (B) mildly/moderately malnourished, or (C) severely malnourished [66]. Those in the well-nourished group have no decrease in food/nutrient intake; <5% weight loss; no/minimal symptoms affecting food intake; no deficit in function; and no deficit in fat or muscle mass. Group A patients can also be someone with criteria for SGA group B or C but with recent adequate food intake; non-fluid weight gain; significant recent improvement in symptoms; significant recent improvement in function; and chronic deficit in fat and muscle mass but with recent clinical improvement in function. Mildly/moderately malnourished patients are those with a definite decrease in food/nutrient intake and may or may not have 5–10% weight loss; mild symptoms affecting food intake; moderate functional deficit; or mild to moderate loss of fat/muscle mass. Group B patients can also be those with criteria for SGA C but with improvement in the aforementioned deficits. Lastly, patients in the severely malnourished group have severe deficit in food/nutrient intake; >10% weight loss which is ongoing; significant symptoms affecting food/ nutrient intake; and severe functional deficit OR recent significant deterioration with obvious signs of fat and/or muscle loss.
Relationship between malnutrition and outcomes after TKA and THA
Preoperative hypoalbuminemia exhibits a strong correlation to worse TKA and THA postoperative outcomes, including, but not limited to, prolonged LOS; increased 30-day, 90-day, and 6-month readmission rates; reoperation rates; infection rates; and 30-day and 12-month mortality rates (Table 2). Prealbumin, transferrin, and TLC have been used to measure malnutrition in preoperative TKA and THA patients; however, they have not been as widely utilized as albumin. Since preoperative malnutrition is associated with worse postoperative outcomes, correcting the particular nutritional deficiency prior to surgery may have immense benefits for the patient. The patient will have less postoperative complications resulting in less financial burden as well as an enhanced recovery course.
Table 2.
Summary of the association between malnutrition and adverse outcomes after lower extremity total joint arthroplasty (TJA)
Author | Patient (n) | Biochemical marker | Postoperative measures | Findings |
---|---|---|---|---|
Nelson et al., 2015 | 77,785 TKA | Albumin | Postoperative infection, postoperative major complications | Malnourished patients had significantly increased prevalence of postoperative infection (p < 0.001) and major complications which included mortality (p = 0.050). |
Roche et al., 2018 | 16,1625 TKA | Albumin, prealbumin, transferrin | Wound complications, infections, CoIW, infection followed by wound complications | Malnourished patients had significantly higher wound complications (OR: albumin = 2.3, OR: prealbumin = 1.9, OR: transferrin = 1.9), infections (OR: albumin = 2.2, OR: prealbumin = 1.87, OR: transferrin = 1.87), CoIW (OR: albumin = 2.9, OR: prealbumin = 2.27, OR: transferrin = 1.79), and infection followed by wound complications (OR: albumin = 2.87, OR: prealbumin = 2.22, OR: transferrin = 1.78). |
Ryan et al., 2018 | 128,412 total 79,661 TKA 48,751 THA | Albumin | Postoperative complications including infection, readmission, reoperation and death | Malnourished patients had significantly increased postoperative complication rates including death, superficial infection, pneumonia, reintubation, transfusion, readmission, and reoperation (p < 0.05). |
Black et al., 2019 | 4047 total 2058 TKA 1989 THA | Albumin | 90-day readmission, 90-day ED visit, LOS, discharge to SNF/rehab | Malnourished patients had significantly longer LOS (p < 0.0001); higher 90-day readmission (OR = 1.55; 95% CI, 1.26–1.92), 90-day ED visit rates (OR = 1.35; 95% CI, 1.14–1.59), and were more likely to be discharged to SNF/rehab (p < 0.0001). |
Newman et al., 2020 | 1667 THA | Albumin | LOS, postoperative complications, reoperation rates | Malnourished patients had significantly longer LOS (p < 0.0001), 80% higher risk for any complication (OR = 1.80; 95% CI, 1.43–2.26) 113% higher risk for major complications (OR = 2.13; 95% CI, 1.31–3.48), 79% higher risk for minor complications (OR = 1.79; 95% CI, 1.42–2.26) and 97% increased risk for reoperation (OR = 1.97; 95% CI, 1.20–3.23). |
Kishawi et al., 2020 | n = 125,162 primary TJA 57% TKA (n = 71,342) 39% THA (n = 48,813) n = 9,846 revision TJA 46% rTHA (n = 4529) 52% rTKA (n = 5120) | Albumin | Postoperative complications including return to operating room and infection | Upper and lower extremity TJA data were combined showing patients with hypoalbuminemia had significantly higher postoperative complications including return to operating room, deep and superficial surgical site infections (p < 0.0001). No significance found for DVT (p = 0.4807), PE (p = 0.4676) or wound disruption (p = 0.5590). |
Eminovic et al., 2021 | 220 THA | Albumin, TLC | LOS, postoperative complications | Preoperative LOS was significantly longer for malnourished patients (p < 0.001); however, postoperative LOS did not show a significant difference (p < 0.544). Malnourished patients had a significantly higher rate of postoperative complications which included infection and unforeseen readmissions (p < 0.001). |
Johnson et al., 2021 | 84,315 TKA | Albumin | 30-day readmission, Infection, postoperative complications, and mortality | Malnourished patients had 3.8 (95% CI, 3.0–4.7) times increased odds of infection, 2.3 (95% CI, 2.0–2.7) times higher odds of readmission, 3.7 (95% CI, 3.3–4.1) times higher odds of all-cause complications, and 7.2 (95% CI, 4.5–11.6) times higher odds of mortality. |
TKA total knee arthroplasty, THA total hip arthroplasty, CoIW concomitant infection with wound, ED emergency department, LOS length of stay, SNF skilled nursing facility, DVT deep vein thrombosis, PE pulmonary embolism, TLC total lymphocyte count, BMI body mass index
Current literature supports a relationship between preoperative malnutrition and postoperative complications after TJA. Of the eight analyzed studies, six used albumin only to identify preoperative malnutrition, one used TLC combined with albumin, and one used albumin, prealbumin, and transferrin separately [9, 24, 36, 67•, 68, 69, 70••, 71]. A detailed description of the literature reported findings is presented in Table 2. There was consensus among all included studies affirming the association between preoperative malnutrition and increased risk of adverse postoperative outcomes. Post-TJA malnutrition-related complications included 30-day, 90-day, and 6-month infection rates, cardiac arrest, pneumonia, readmission rates, reoperation rates, ED visit rates, and discharge rates to a skilled nursing facility (SNF)/rehabilitation center as well as 30-day and 12-month mortality. Furthermore, two studies reported a correlation between nutritional deficiency and increased LOS, yet Eminovic et al. only found a correlation with preoperative LOS and not postoperative LOS [67•, 70••, 71].
Hypoalbuminemia studies
In a retrospective study by Kishawi et al. [69], the authors analyzed the effects of hypoalbuminemia (<3.5 g/dL) on various 30-day postoperative complications for upper and lower extremity TJA patients. Of the 135,008 patients included in the study, 125,162 had undergone primary arthroplasty, with 57% (n ~ 71,342) involving the knee and 39% (n ~ 48,813) of the hip. Multivariate regression analysis determined an association between hypoalbuminemia and postoperative outcomes, including organ or space surgical site infection (OR = 2.65; 95% CI, 1.88–3.75), superficial incisional surgical site infection (OR = 1.70; 95% CI, 1.33–2.17), deep incisional surgical site infection (OR = 2.53; 95% CI, 1.82–3.53), wound infection (OR = 4.25; 95% CI, 3.59–5.05), return to operating room (OR = 1.74; 95% CI, 1.51–2.00), and unplanned intubation (OR = 3.23; 95% CI, 2.46–4.25). Black et al. [70••] conducted a retrospective study of 2058 TKA and 1989 THA patients, showing a relationship between hypoalbuminemia and postoperative complications. Using a multivariable model controlling for a variety of demographic factors and comorbidities, the study concluded that malnourished patients had increased risk for 90-day readmission (OR = 1.55; 95% CI, 1.26–1.92) and 90-day ED visits (OR = 1.35; 95% CI, 1.14–1.59). Limitations of the study included 6108 (60.1%) of the primary TKA/THA patients excluded from data analysis due to missing preoperative albumin values. Johnson et al. included 84,315 TKA patients categorized as optimized (BMI <40 kg/m2, albumin >3.5 g/dL, nonsmokers, and nondiabetic) or non-optimized and also grouped based on the four previously mentioned risk factors [9]. A multivariable logistic regression model was used to determine the effect of each modifiable risk factor on the risk of postoperative infection, readmission, any complication, and mortality. Patients with hypoalbuminemia had increased odds of infection (OR = 3.8; 95% CI, 3.0–4.7), readmission (OR = 2.3; 95% CI, 2.0–2.7), any complication (OR = 3.7; 95% CI, 3.3–4.1), and mortality (OR = 7.2; 95% CI, 4.5–11.6).
Interventions for malnutrition can improve outcomes
Nutritional supplementation may be one solution for mitigating poor postoperative outcomes. Nutritional support, including dietary advice, oral nutritional supplementation, or enteral and parenteral nutrition, for hospitalized patients has shown mixed results. Some meta-analyses have shown that nutritional support has no significant effect on mortality at discharge/4–6-month follow-up (OR = 0.96; 95% CI, 0.72–1.27) [72] or on short-term serious adverse events at a mean of 10.4 days after intervention (risk ratio, RR = 0.93; 95% CI, 0.86–1.01) [73]. Conversely, a more recent meta-analysis determined patients receiving nutritional support did have a significant reduction in mortality (OR = 0.73; 95% CI, 0.56–0.97) [74]. Furthermore, a population-based cohort study of 114,264 hospitalized patients showed an association between nutritional support and a reduction in all-cause inpatient mortality rate and 30-day readmission rates [75•]. Multiple randomized controlled trials, one utilizing a high-protein, energy dense nutritional supplement, and the other utilizing protocol guided nutritional support, showed similar promising results with the treatment group having a significantly lower mortality rate than the control group (p < 0.05) [76, 77]. Furthermore, the use of nutritional supplementation has shown to be advantageous for patients prior to undergoing various procedures including abdominal surgery [77].
Preoperative nutritional intervention for TJA patients has been less widely studied; however, as shown in Table 3, it has shown to provide postoperative benefits and should be considered for further investigation. The literature that is available utilizes either some form of carbohydrate solution or protein-dominant diet to study their effects on LOS and postoperative complications or outcomes [78–81]. The carbohydrate solution-based interventions have mixed results, with Alito and De Aguilar-Nascim reporting no significance for LOS and Harsten et al. determining that LOS was significantly improved (p < .01) [78, 80]. Protein supplementation significantly improved postoperative complications (p = 0.003) [79] as well as charges incurred by the patient for services (p < 0.001) [81••] in two separate studies. The specific charges that were studied included primary hospitalization charges, charges associated with hospital readmissions, and 90-day total charges.
Table 3.
Summary of the use of nutritional supplementation to improve postoperative outcomes
Author | Design | Patient (n) | Intervention | Postop measures | Findings |
---|---|---|---|---|---|
Alito and De Aguilar-Nascimento, 2016 | RCT | 32 THAs | 400 ml of oral 12.5% carbohydrate solution 1.5 h before and 2 h after surgery | Six different pain and discomfort parameters; LOS | Treatment group had less pain at 12, 16, and 20 h postop (median scores 20, 30, and 34 vs. 7, 5, and 0 mm; p < 0.05) compared to control group. No significant difference was found between groups for LOS |
Botella-Carretero et al., 2010 | RCT | 60 THAs | 52.2 ± 12.1% energy–protein supplements (40 g of protein and 400 kcal per day) per day for 5.8 ± 1.8 days before surgery and until discharge | Serum proteins, BMI, postoperative complications | Treatment group had significantly higher albumin (p = 0.002) and prealbumin (p = 0.045) postop compared to control group. Only supplemented proteins per day (OR = 0.925; 95% CI, 0.869–0.985) were associated with less postoperative complications (p = 0.003). |
Harsten et al., 2012 | RCT | 60 THAs | ACERTO protocol (6 h preoperative fasting for solids, 200 mL of 12.5% maltodextrin up to 2 h before surgery, restricted IV fluids and preoperative immune nutrition for 5 days prior to surgery) | LOS, postop C reactive protein | Treatment group (median = 3 days, range 2–5 days) stayed a median of 3 days less (p < 0.01) than the control group (median = 6 days, range 3–8 days). |
Schroer et al., 2019 | Longitudinal Cohort Study | 4733 THAs and TKAs (number of each not specified) | Nutritional intervention program encouraging a high-protein, high anti-inflammatory food diet beginning prior to surgery and continuing for at least 1-month post-surgery | LOS, readmission, charges incurred by the patient for services | Nutritional supplementation for the malnourished cohort at the study hospital only showed significance for charges incurred (p < 0.001). |
TKA total knee arthroplasty, THA total hip arthroplasty, RCT randomized control trial, LOS length of stay, BMI body mass index, ACERTO ACEleração da Recuperação TOtal Pós-operatória
Schroer et al. describes the use of a postoperative nutritional intervention program for patients who had undergone elective TJA and determined to have preoperative malnutrition, as defined by an albumin level of ≤3.4 g/l, showed promising results [81••]. The five-adult hospital network applied a nutritional intervention program centered around the use of high-protein and anti-inflammatory foods that patients were instructed to begin prior to surgery and continue for at least 1-month post-surgery. The results of the study showed that hospital charges related to initial hospitalization, readmissions, and total 90 days of care were significantly decreased for malnourished patients at the study hospital compared to the control hospital (p < 0.001). Botella-Carretero et al. examined the use of oral nutritional supplements consisting of 40 g of protein and 400 kcal per day in a randomized controlled clinical trial [79]. The intervention group had a better postoperative recovery of plasma proteins (p = 0.045) as well as a smaller decrease in serum albumin levels (p = 0.002) when compared to the control group. Furthermore, patients in the intervention group with increased amounts of protein intake per day showed a decreased postoperative complication rate when compared to patients in the control group (OR = 0.925; 95% CI, 0.869–0.985). Conversely, no significant difference was found between the intervention group and control group when comparing LOS, BMI, tricipital fold, or mid-brachial circumference.
Other Contributors to Outcomes Beyond Malnutrition
When discussing the effect of malnutrition on patient outcomes after undergoing TJA, it is important to also mention the other contributors to outcomes that may interplay with nutritional assessment. The frailty of a patient is one factor that has shown to enhance postoperative complications when combined with preoperative malnutrition [82, 83•]. In one retrospective cohort study, 105,997 patients undergoing THA were identified using the American College of Surgeons-National Surgery Quality Improvement Program database, and categorized into groups as either healthy, frail-only, hypoalbuminemia-only, or hypoalbuminemia and frail [82]. Preoperative hypoalbuminemia was defined as a serum albumin level < 3.5 g/dL, and a score of ≥2 on a 5-item modified frailty index score was used to define the frailty of a patient. The study concluded that, when compared to all other groups, patients with preoperative malnutrition defined as hypoalbuminemia combined with frailty at the time of surgery had greater complication rates. Furthermore, patients with combined hypoalbuminemia and frailty had a 30-day mortality rate of 1.9%, significantly higher than the healthy cohort (OR = 12.66; 95% CI, 7.81–20.83). The literature regarding TKA has produced similar results, underlying the importance of frailty and the interaction it has with malnutrition [83•, 84].
Social support is another commonly overlooked factor that has substantial effects on TJA outcomes. Marital status, housing status, tangible support, emotional support, and having a family member or friend to provide support throughout the surgical process can all influence postoperative outcomes such as LOS, physical function, and reported pain [85–87]. An analysis of 1722 observations across 4 hospitals using the modified Groningen Orthopedic Social Support Scale showed TJA patients with very high social support had shorter LOS (p < .05), were more likely to be discharged postoperatively on day 5 (95.6% vs 57.1% in low support group, p < .0001), and more confident to go home at discharge (81.5% vs 33.3% in low support group, p < .0001) [85]. Furthermore, the presence of a friend or family member during the preoperative classes, in the preoperative holding area, and during the last physical therapy session resulted in improved outcome measures.
In addition to frailty and social support, some other factors that may interact with malnutrition include smoking, opioid use, and chronic illnesses such as diabetes mellitus. Smoking is a modifiable preoperative risk factor that has been extensively studied and proven to increase the prevalence of medical complications following TJA [88–90]. Similarly, multiple studies have found an association between preoperative opioid use and enhanced risk of poor postoperative outcomes [91–93]. Diabetes mellitus, specifically inadequate glycemic control prior to surgery, has shown mixed results with some studies showing increased risk of postoperative complications [94, 95] and some studies showing no association [96].
Conclusion
Preoperative malnutrition, defined primarily by hypoalbuminemia, remains highly prevalent despite the recent development of various nutritional guidelines and assessments. Recent research has shown some improvement in TJA malnutrition [97]; however, the lack of consensus regarding measures of nutrition has caused sustained prevalence of nutritional deficiency in the hospital setting [3, 4•, 5–7, 16•]. It is important to neutralize nutritional deficiency for patients undergoing TJA, specifically, because of the increased risk of postoperative complications including increased LOS, infection rate, readmission rate, reoperation rate, and mortality [24, 36, 67•, 68, 69, 70••, 71]. The literature to date on the use of preoperative nutritional supplementation, such as high-protein and high-anti-inflammatory diets, shows promising results to reduce some of the complications resulting from malnutrition [78–80, 81••]. Furthermore, in order to adequately treat the patient, frailty and social support should also be considered as they may interplay with malnutrition. Although additional research is needed to verify the utility of nutritional support in mitigating adverse surgical outcomes in TJA patients, the severity of this issue needs to be urgently addressed among orthopaedic surgeons.
Author Contributions
The conceptualization and idea for the article came from MH, MD and NSP, MD. The literature search and data analysis were performed by MDD, BS. The first draft of the manuscript was written by MDD, BS and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Funding
No funding was received to assist with the preparation of this manuscript.
Data Availability
Not applicable
Code Availability
Not applicable
Declarations
Ethics Approval and Consent to Participate
Not applicable
Consent for Publication
Not applicable
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
This article is part of the Topical Collection on Reverse Shoulder Arthroplasty
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance
- 1.Sayeed Z, Anoushiravani AA, Simha S, Padela MT, Schafer P, Awad ME, et al. Markers for malnutrition and BMI status in total joint arthroplasty and pharmaconutrient therapy [Internet] JBJS Rev J Bone Jt Surg Inc. 2019;7(5):e3. doi: 10.2106/JBJS.RVW.18.00056. [DOI] [PubMed] [Google Scholar]
- 2.White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement: Academy of nutrition and dietetics and American society for parenteral and enteral nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition) J Parenter Enter Nutr. 2012;36:275–283. doi: 10.1177/0148607112440285. [DOI] [PubMed] [Google Scholar]
- 3.Sauer AC, Goates S, Malone A, Mogensen KM, Gewirtz G, Sulz I, et al. Prevalence of malnutrition risk and the impact of nutrition risk on hospital outcomes: results from nutrition day in the U.S. J Parenter Enter Nutr. 2019;43:918–926. doi: 10.1002/jpen.1499. [DOI] [PubMed] [Google Scholar]
- 4.•.Williams DGA, Molinger J, Wischmeyer PE. The malnourished surgery patient: a silent epidemic in perioperative outcomes? [Internet] Curr Opin Anaesthesiol. 2019;32(3):405–411. doi: 10.1097/ACO.0000000000000722. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Gu A, Malahias MA, Strigelli V, Nocon AA, Sculco TP, Sculco PK. Preoperative malnutrition negatively correlates with postoperative wound complications and infection after total joint arthroplasty: a systematic review and meta-analysis [Internet] J Arthroplast. 2019;34:1013–1024. doi: 10.1016/j.arth.2019.01.005. [DOI] [PubMed] [Google Scholar]
- 6.Yi PH, Frank RM, Vann E, Sonn KA, Moric M, Della Valle CJ. Is potential malnutrition associated with septic failure and acute infection after revision total joint arthroplasty? Clin Orthop Relat Res. 2015;473:175–182. doi: 10.1007/s11999-014-3685-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ellsworth B, Kamath AF. Malnutrition and total joint arthroplasty. J Nat Sci. 2016;2:e179. [PMC free article] [PubMed] [Google Scholar]
- 8.Weimann A, Braga M, Carli F, Higashiguchi T, Hübner M, Klek S, et al. ESPEN guideline: clinical nutrition in surgery. Clin Nutr. 2017;36:623–650. doi: 10.1016/j.clnu.2017.02.013. [DOI] [PubMed] [Google Scholar]
- 9.••.Johnson NR, Statz JM, Odum SM, Otero JE. Failure to optimize before total knee arthroplasty: which modifiable risk factor is the most dangerous? J Arthroplasty (Churchill Livingstone) 2021;36(7):2452–2457. doi: 10.1016/j.arth.2021.02.061. [DOI] [PubMed] [Google Scholar]
- 10.Finnerty CC, Mabvuure NT, Kozar RA, Herndon DN. The surgically induced stress response. J Parenter Enter Nutr. 2013;37:21S–29S. doi: 10.1177/0148607113496117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gillis C, Wischmeyer PE. Pre-operative nutrition and the elective surgical patient: why, how and what? [Internet] Anaesthesia. 2019;74(Suppl 1):27–35. doi: 10.1111/anae.14506. [DOI] [PubMed] [Google Scholar]
- 12.White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement: Academy of nutrition and dietetics and American society for parenteral and enteral nutrition: Characteristics recommended for the identification and documentation of adult malnutrition (undernutrition) J Parenter Enter Nutr. 2012;36:275–283. doi: 10.1177/0148607112440285. [DOI] [PubMed] [Google Scholar]
- 13.Wischmeyer PE, Carli F, Evans DC, Guilbert S, Kozar R, Pryor A, et al. American Society for Enhanced recovery and perioperative quality initiative joint consensus statement on nutrition screening and therapy within a surgical enhanced recovery pathway [Internet]. Anesth Analg. 2018:1883–95. Lippincott Williams and Wilkins; [cited 2021 Mar 8]. Available from: https://pubmed-ncbi-nlm-nih-gov.neomed.idm.oclc.org/29369092/ [DOI] [PubMed]
- 14.Zhang Z, Pereira SL, Luo M, Matheson EM. Evaluation of blood biomarkers associated with risk of malnutrition in older adults: a systematic review and meta-analysis [Internet] Nutrients. 2017;9(8):829. doi: 10.3390/nu9080829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Skipper A, Ferguson M, Thompson K, Castellanos VH, Porcari J. Nutrition screening tools. J Parenter Enter Nutr. 2012;36:292–298. doi: 10.1177/0148607111414023. [DOI] [PubMed] [Google Scholar]
- 16.•.Cortes R, Bennasar-Veny M, Castro-Sanchez E, Fresneda S, de Pedro-Gomez J, Yañez A. Nutrition screening tools for risk of malnutrition among hospitalized patients: a protocol for systematic review and meta analysis. Medicine (Baltimore) 2020;99:e22601. doi: 10.1097/MD.0000000000022601. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mujagic E, Marti WR, Coslovsky M, Zeindler J, Staubli S, Marti R, et al. The role of preoperative blood parameters to predict the risk of surgical site infection. Am J Surg. 2018;215:651–657. doi: 10.1016/j.amjsurg.2017.08.021. [DOI] [PubMed] [Google Scholar]
- 18.Gibbs J, Cull W, Henderson W, Daley J, Hur K, Khuri SF. Preoperative serum albumin level as a predictor of operative mortality and morbidity: Results from the National VA Surgical Risk Study. Arch Surg. 1999;134:36–42. doi: 10.1001/archsurg.134.1.36. [DOI] [PubMed] [Google Scholar]
- 19.Bath J, Smith JB, Woodard J, Kruse RL, Vogel TR. Complex relationship between low albumin level and poor outcome after lower extremity procedures for peripheral artery disease. J Vasc Surg. 2021;73:200–209. doi: 10.1016/j.jvs.2020.04.524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hennessey DB, Burke JP, Ni-Dhonochu T, Shields C, Winter DC, Mealy K. Preoperative hypoalbuminemia is an independent risk factor for the development of surgical site infection following gastrointestinal surgery: a multi-institutional study. Ann Surg. 2010;252:325–329. doi: 10.1097/SLA.0b013e3181e9819a. [DOI] [PubMed] [Google Scholar]
- 21.Garg T, Chen LY, Kim PH, Zhao PT, Herr HW, Donat SM. Preoperative serum albumin is associated with mortality and complications after radical cystectomy. BJU Int. 2014;113:918–923. doi: 10.1111/bju.12405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bhamidipati CM, Lapar DJ, Mehta GS, Kern JA, Upchurch GR, Kron IL, et al. Albumin is a better predictor of outcomes than body mass index following coronary artery bypass grafting. Surgery. 2011;150:626–634. doi: 10.1016/j.surg.2011.07.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Rocha NP, Fortes RC. Total lymphocyte count and serum albumin as predictors of nutritional risk in surgical patients. Arq Bras Cir Dig. 2015;28:193–196. doi: 10.1590/S0102-67202015000300012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Ryan SP, Politzer C, Green C, Wellman S, Bolognesi M, Seyler T. Albumin versus American society of anesthesiologists score: which is more predictive of complications following total joint arthroplasty? Orthopedics [Internet] Slack Incorporated. 2018;41:354–362. doi: 10.3928/01477447-20181010-05. [DOI] [PubMed] [Google Scholar]
- 25.Bharadwaj S, Ginoya S, Tandon P, Gohel TD, Guirguis J, Vallabh H, et al. Malnutrition: laboratory markers vs nutritional assessment [Internet] Gastroenterol Rep (Oxford) 2016;4:272–280. doi: 10.1093/gastro/gow013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Keller U. Nutritional Laboratory Markers in Malnutrition. J Clin Med. 2019;8:775. doi: 10.3390/jcm8060775. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Beck FK, Rosenthal TC. Prealbumin: a Marker for Nutritional Evaluation [Internet] Am Fam Physician. 2002;65(8):1575–1579. [PubMed] [Google Scholar]
- 28.Knappe-Drzikova B, Maasberg S, Vonderbeck D, Krafft TA, Knüppel S, Sturm A, et al. Malnutrition predicts long-term survival in hospitalized patients with gastroenterological and hepatological diseases. Clin Nutr ESPEN. 2019;30:26–34. doi: 10.1016/j.clnesp.2019.02.010. [DOI] [PubMed] [Google Scholar]
- 29.Mears E. Outcomes of continuous process improvement of a nutritional care program incorporating serum prealbumin measurements. Nutrition. 1996;12:479–484. doi: 10.1016/s0899-9007(96)91721-9. [DOI] [PubMed] [Google Scholar]
- 30.Neyra NR, Hakim RM, Shyr Y, Ikizler TA. Serum transferrin and serum prealbumin are early predictors of serum albumin in chronic hemodialysis patients. J Ren Nutr. 2000;10:184–190. doi: 10.1053/jren.2000.16325. [DOI] [PubMed] [Google Scholar]
- 31.Shetty PS, Jung RT, Watrasiewicz KE, WPT J. Rapid-turnover transport proteins: an index of subclinical protein-energy malnutrition. Lancet. 1979;314:230–232. doi: 10.1016/s0140-6736(79)90241-1. [DOI] [PubMed] [Google Scholar]
- 32.Aparecida Leandro-Merhi V, Braga De Aquino JL, Sales Chagas JF. Nutrition status and risk factors associated with length of hospital stay for surgical patients. JPEN J Parenter Enteral Nutr. 2011;35:241–248. doi: 10.1177/0148607110374477. [DOI] [PubMed] [Google Scholar]
- 33.Girson R, Simadibrata M, Syam AF, Timan IS, Setiati S, Rani AA. Total lymphocyte count as a nutritional parameter in hospitalized patients. Indones J Gastroenterol Hepatol Dig Endosc. 2011;12(2):89-94 [Internet]. [cited 2021 Apr 3]. Available from: https://scholar.ui.ac.id/en/publications/total-lymphocyte-count-as-a-nutritional-parameter-in-hospitalized
- 34.Nishida T, Sakakibara H. Association between underweight and low lymphocyte count as an indicator of malnutrition in Japanese women. J Women's Health. 2010;19:1377–1383. doi: 10.1089/jwh.2009.1857. [DOI] [PubMed] [Google Scholar]
- 35.Bach V, Schruckmayer G, Sam I, Kemmler G, Stauder R. Prevalence and possible causes of anemia in the elderly: a cross-sectional analysis of a large European university hospital cohort. Clin Interv Aging. 2014;9:1187–1196. doi: 10.2147/CIA.S61125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Roche M, Law TY, Kurowicki J, Sodhi N, Rosas S, Elson L, et al. Albumin, prealbumin, and transferrin may be predictive of wound complications following total knee arthroplasty. J Knee Surg. 2018;31:946–951. doi: 10.1055/s-0038-1672122. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Cross MB, Yi PH, Thomas CF, Garcia J, Della Valle CJ. Evaluation of malnutrition in orthopaedic surgery. J Am Acad Orthop Surg [Internet] 2014;22:193–199. doi: 10.5435/JAAOS-22-03-193. [DOI] [PubMed] [Google Scholar]
- 38.Bohl DD, Shen MR, Kayupov E, Della Valle CJ. Hypoalbuminemia independently predicts surgical site infection, pneumonia, length of stay, and readmission after total joint arthroplasty. J Arthroplast. 2016;31:15–21. doi: 10.1016/j.arth.2015.08.028. [DOI] [PubMed] [Google Scholar]
- 39.Rainey Macdonald CG, Holliday RL, Wells GA, Donner AP. Validity of a two-variable nutritional index for use in selecting candidates for nutritional support. JPEN J Parenter Enteral Nutr. 1983;7:15–20. doi: 10.1177/014860718300700115. [DOI] [PubMed] [Google Scholar]
- 40.Puskarich CL, Nelson CL, Nusbickel FR, Stroope HF. The use of two nutritional indicators in identifying long bone fracture patients who do and do not develop infections. J Orthop Res. 1990;8:799–803. doi: 10.1002/jor.1100080604. [DOI] [PubMed] [Google Scholar]
- 41.Hanada M, Hotta K, Matsuyama Y. Prognostic nutritional index as a risk factor for aseptic wound complications after total knee arthroplasty. J Orthop Sci. 2020; [Internet]. Elsevier; [cited 2021 Mar 10]. Available from: https://pubmed-ncbi-nlm-nih-gov.neomed.idm.oclc.org/32883543/ [DOI] [PubMed]
- 42.Casadei K, Kiel J. Anthropometric measurement [Updated 2020 Apr 28] [Internet]. StatPearls. StatPearls Publishing; 2020 [cited 2021 Mar 25]. Available from: https://www.ncbi.nlm.nih.gov/books/NBK537315/
- 43.Madden AM, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet. 2016;29:7–25. doi: 10.1111/jhn.12278. [DOI] [PubMed] [Google Scholar]
- 44.Cederholm T, Bosaeus I, Barazzoni R, Bauer J, Van Gossum A, Klek S, et al. Diagnostic criteria for malnutrition - an ESPEN Consensus Statement. Clin Nutr. 2015;34:335–340. doi: 10.1016/j.clnu.2015.03.001. [DOI] [PubMed] [Google Scholar]
- 45.Kondrup J, Allison SP, Elia M, Vellas B, Plauth M. ESPEN guidelines for nutrition screening 2002. Clin Nutr. 2003;22:415–421. doi: 10.1016/s0261-5614(03)00098-0. [DOI] [PubMed] [Google Scholar]
- 46.Almasaudi AS, McSorley ST, Dolan RD, Edwards CA, McMillan DC. The relation between Malnutrition Universal Screening Tool (MUST), computed tomography-derived body composition, systemic inflammation, and clinical outcomes in patients undergoing surgery for colorectal cancer. Am J Clin Nutr. 2019;110:1327–1334. doi: 10.1093/ajcn/nqz230. [DOI] [PubMed] [Google Scholar]
- 47.Barbosa AA d O, Vicentini AP, Langa FR. Comparison of NRS-2002 criteria with nutritional risk in hospitalized patients. Cienc Saude Colet. 2019;24:3325–3334. doi: 10.1590/1413-81232018249.25042017. [DOI] [PubMed] [Google Scholar]
- 48.Portero-McLellan KC, Staudt C, Silva FRF, Bernardi JLD, Frenhani PB, Mehri VAL. The use of calf circumference measurement as an anthropometric tool to monitor nutritional status in elderly inpatients. J Nutr Health Aging. 2010;14:266–270. doi: 10.1007/s12603-010-0059-0. [DOI] [PubMed] [Google Scholar]
- 49.Tsai AC, Chang TL, Wang JY. Short-form Mini-Nutritional Assessment with either BMI or calf circumference is effective in rating the nutritional status of elderly Taiwanese-Results of a national cohort study. Br J Nutr. 2013;110:1126–1132. doi: 10.1017/S0007114513000366. [DOI] [PubMed] [Google Scholar]
- 50.Fiorentino M, Sophonneary P, Laillou A, Whitney S, De Groot R, Perignon M, et al. Current MUAC cut-offs to screen for acute malnutrition need to be adapted to gender and age: The example of Cambodia. PLoS One. 2016;11:e0146442. doi: 10.1371/journal.pone.0146442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Maalouf-Manasseh Z, Remancus S, Milner E, Fenlason L, Quick T, Patsche CB, et al. Global mid-upper arm circumference cut-offs for adults: a call to action [Internet] Public Health Nutr. 2020;23(17):3114–3115. doi: 10.1017/S1368980020000385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Gottschall C, Tarnowski M, Machado P, Raupp D, Marcadenti A, Rabito EI, et al. Predictive and concurrent validity of the Malnutrition Universal Screening Tool using mid-upper arm circumference instead of body mass index. J Hum Nutr Diet. 2019;32:775–780. doi: 10.1111/jhn.12665. [DOI] [PubMed] [Google Scholar]
- 53.Agrelli TF, Borges MDC, Da Cunha FMR, Da Silva ÉMC, Terra Júnior JA, Crema E. Combination of preoperative pulmonary and nutritional preparation for esophagectomy. Acta Cir Bras. 2018;33:67–74. doi: 10.1590/s0102-865020180010000007. [DOI] [PubMed] [Google Scholar]
- 54.Leal-Escobar G, Osuna-Padilla IA, Cano-Escobar B, Moguel-González B, Pérez-Grovas HA, Ruiz-Ubaldo S. Phase angle and mid arm circumference as predictors of protein energy wasting in renal replacement therapy patients. Nutr Hosp. 2019;36:633–639. doi: 10.20960/nh.2463. [DOI] [PubMed] [Google Scholar]
- 55.Lee B, Han HS, Yoon YS, Cho JY, Lee JS. Impact of preoperative malnutrition, based on albumin level and body mass index, on operative outcomes in patients with pancreatic head cancer. J Hepatobiliary Pancreat Sci. 2020;28(12):1069–1075. doi: 10.1002/jhbp.858. [DOI] [PubMed] [Google Scholar]
- 56.Kim JM, Park JH, Jeong SH, Lee YJ, Ju YT, Jeong CY, et al. Relationship between low body mass index and morbidity after gastrectomy for gastric cancer. Ann Surg Treat Res. 2016;90:207–212. doi: 10.4174/astr.2016.90.4.207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Kim E, Kang JS, Han Y, Kim H, Kwon W, Kim JR, et al. Influence of preoperative nutritional status on clinical outcomes after pancreatoduodenectomy. HPB. 2018;20:1051–1061. doi: 10.1016/j.hpb.2018.05.004. [DOI] [PubMed] [Google Scholar]
- 58.Vellas B, Guigoz Y, Garry PJ, Nourhashemi F, Bennahum D, Lauque S, et al. The Mini Nutritional Assessment (MNA) and its use in grading the nutritional state of elderly patients. Nutrition. 1999;15:116–122. doi: 10.1016/s0899-9007(98)00171-3. [DOI] [PubMed] [Google Scholar]
- 59.Helminen H, Luukkaala T, Saarnio J, Nuotio M. Comparison of the Mini-Nutritional Assessment short and long form and serum albumin as prognostic indicators of hip fracture outcomes. Injury. 2017;48:903–908. doi: 10.1016/j.injury.2017.02.007. [DOI] [PubMed] [Google Scholar]
- 60.•.Li S, Zhang J, Zheng H, Wang X, Liu Z, Sun T. Prognostic role of serum albumin, total lymphocyte count, and Mini Nutritional Assessment on outcomes after geriatric hip fracture surgery: a meta-analysis and systematic review [Internet] J Arthroplast. 2019;34(6):1287–1296. doi: 10.1016/j.arth.2019.02.003. [DOI] [PubMed] [Google Scholar]
- 61.Guo JJ, Yang H, Qian H, Huang L, Guo Z, Tang T. The effects of different nutritional measurements on delayed wound healing after hip fracture in the elderly. J Surg Res. 2010;159:503–508. doi: 10.1016/j.jss.2008.09.018. [DOI] [PubMed] [Google Scholar]
- 62.Barbosa-Silva MCG, Barros AJD. Indications and limitations of the use of subjective global assessment in clinical practice: An update [Internet] Curr Opin Clin Nutr Metab Care. 2006;9(3):263–269. doi: 10.1097/01.mco.0000222109.53665.ed. [DOI] [PubMed] [Google Scholar]
- 63.Bailey RL, West KP, Black RE. The epidemiology of global micronutrient deficiencies. Ann Nutr Metab. 2015;66:22–33. doi: 10.1159/000371618. [DOI] [PubMed] [Google Scholar]
- 64.Secker DJ, Jeejeebhoy KN. Subjective global nutritional assessment for children. Am J Clin Nutr. 2007;85:1083–1089. doi: 10.1093/ajcn/85.4.1083. [DOI] [PubMed] [Google Scholar]
- 65.Detsky AS, Mclaughlin J, Baker JP, Johnston N, Whittaker S, Mendelson RA, et al. What is subjective global assessment of nutritional status? JPEN J Parenter Enteral Nutr. 1987;11:8–13. doi: 10.1177/014860718701100108. [DOI] [PubMed] [Google Scholar]
- 66.Prasad N, Sinha A. Subjective global assessment (SGA) of malnutrition. Handb Famine, Starvation, Nutr Deprivation From Biol to Policy [Internet]. Springer International Publishing; [cited 2021 Apr 14]. 2019;643–63. Available from: https://link.springer.com/referenceworkentry/10.1007/978-3-319-55387-0_116
- 67.•.Eminovic S, Vincze G, Eglseer D, Riedl R, Sadoghi P, Leithner A, et al. Malnutrition as predictor of poor outcome after total hip arthroplasty. Int Orthop. 2021;45:51–56. doi: 10.1007/s00264-020-04892-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Nelson CL, Elkassabany NM, Kamath AF, Liu J. Low albumin levels, more than morbid obesity, are associated with complications after TKA. Clin Orthop Relat Res. 2015;473:3163–3172. doi: 10.1007/s11999-015-4333-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Kishawi D, Schwarzman G, Mejia A, Hussain AK, Gonzalez MH. Low preoperative albumin levels predict adverse outcomes after total joint arthroplasty. J Bone Joint Surg Am. 2020;102:889–895. doi: 10.2106/JBJS.19.00511. [DOI] [PubMed] [Google Scholar]
- 70.••.Black CS, Goltz DE, Ryan SP, Fletcher AN, Wellman SS, Bolognesi MP, et al. The role of malnutrition in ninety-day outcomes after total joint arthroplasty. J Arthroplast. 2019;34:2594–2600. doi: 10.1016/j.arth.2019.05.060. [DOI] [PubMed] [Google Scholar]
- 71.Newman JM, Sodhi N, Khlopas A, Piuzzi NS, Yakubek GA, Sultan AA, et al. Malnutrition increases the 30-day complication and re-operation rates in hip fracture patients treated with total hip arthroplasty. HIP Int. 2020;30:635–640. doi: 10.1177/1120700019862977. [DOI] [PubMed] [Google Scholar]
- 72.Bally MR, Yildirim PZB, Bounoure L, Gloy VL, Mueller B, Briel M, et al. Nutritional support and outcomes in malnourished medical inpatients a systematic review and meta-analysis. JAMA Intern Med. 2016;176:43–53. doi: 10.1001/jamainternmed.2015.6587. [DOI] [PubMed] [Google Scholar]
- 73.Feinberg J, Nielsen EE, Korang SK, Halberg Engell K, Nielsen MS, Zhang K, et al. Nutrition support in hospitalised adults at nutritional risk [Internet] Cochrane Database Syst Rev. 2017;5(5):CD011598. doi: 10.1002/14651858.CD011598.pub2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Gomes F, Baumgartner A, Bounoure L, Bally M, Deutz NE, Greenwald JL, et al. Association of nutritional support with clinical outcomes among medical inpatients who are malnourished or at nutritional risk: an updated systematic review and meta-analysis. JAMA Netw Open. 2019;2:e1915138. doi: 10.1001/jamanetworkopen.2019.15138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.•.Kaegi-Braun N, Mueller M, Schuetz P, Mueller B, Kutz A. Evaluation of nutritional support and in-hospital mortality in patients with malnutrition. JAMA Netw Open. 2021;4:e2033433. doi: 10.1001/jamanetworkopen.2020.33433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Deutz NE, Matheson EM, Matarese LE, Luo M, Baggs GE, Nelson JL, et al. Readmission and mortality in malnourished, older, hospitalized adults treated with a specialized oral nutritional supplement: A randomized clinical trial. Clin Nutr. 2016;35:18–26. doi: 10.1016/j.clnu.2015.12.010. [DOI] [PubMed] [Google Scholar]
- 77.Jie B, Jiang ZM, Nolan MT, Zhu SN, Yu K, Kondrup J. Impact of preoperative nutritional support on clinical outcome in abdominal surgical patients at nutritional risk. Nutrition. 2012;28:1022–1027. doi: 10.1016/j.nut.2012.01.017. [DOI] [PubMed] [Google Scholar]
- 78.Alito MA, De Aguilar-Nascimento JE. Multimodal perioperative care plus immunonutrition versus traditional care in total hip arthroplasty: a randomized pilot study. Nutr J. 2016;15:34. doi: 10.1186/s12937-016-0153-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Botella-Carretero JI, Iglesias B, Balsa JA, Arrieta F, Zamarrón I, Vázquez C. Perioperative oral nutritional supplements in normally or mildly undernourished geriatric patients submitted to surgery for hip fracture: a randomized clinical trial. Clin Nutr. 2010;29:574–579. doi: 10.1016/j.clnu.2010.01.012. [DOI] [PubMed] [Google Scholar]
- 80.Harsten A, Hjartarson H, Toksvig-Larsen S. Total hip arthroplasty and perioperative oral carbohydrate treatment: a randomised, double-blind, controlled trial. Eur J Anaesthesiol. 2012;29:271–274. doi: 10.1097/EJA.0b013e3283525ba9. [DOI] [PubMed] [Google Scholar]
- 81.••.Schroer WC, AR LM, Mills K, Childress AL, Morton DJ, Reedy ME. 2019 Chitranjan S. Ranawat Award: elective joint arthroplasty outcomes improve in malnourished patients with nutritional intervention: a prospective population analysis demonstrates a modifiable risk factor. Bone Jt J. 2019;101 B:17–21. doi: 10.1302/0301-620X.101B7.BJJ-2018-1510.R1. [DOI] [PubMed] [Google Scholar]
- 82.Wilson JM, Schwartz AM, Farley KX, Bradbury TL, Guild GN. Combined malnutrition and frailty significantly increases complications and mortality in patients undergoing elective total hip arthroplasty. J Arthroplast. 2020;35:2488–2494. doi: 10.1016/j.arth.2020.04.028. [DOI] [PubMed] [Google Scholar]
- 83.•.Schwartz AM, Wilson JM, Farley KX, Bradbury TL, Guild GN. Concomitant malnutrition and frailty are uncommon, but significant risk factors for mortality and complication following primary total knee arthroplasty. J Arthroplast. 2020;35:2878–2885. doi: 10.1016/j.arth.2020.05.062. [DOI] [PubMed] [Google Scholar]
- 84.Runner RP, Bellamy JL, Vu CPCL, Erens GA, Schenker ML, Guild GN. Modified frailty index is an effective risk assessment tool in primary total knee arthroplasty. J Arthroplast. 2017;32:S177–S182. doi: 10.1016/j.arth.2017.03.046. [DOI] [PubMed] [Google Scholar]
- 85.Theiss MM, Ellison MW, Tea CG. The connection between strong social support and joint replacement outcomes. Orthopedics. 2011;34:357. doi: 10.3928/01477447-20110317-02. [DOI] [PubMed] [Google Scholar]
- 86.Sveikata T, Porvaneckas N, Kanopa P, Molyte A, Klimas D, Uvarovas V, et al. Age, sex, body mass index, education, and social support influence functional results after total knee arthroplasty. Geriatr Orthop Surg Rehabil. 2017;8:71–77. doi: 10.1177/2151458516687809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Lopez-Olivo MA, Ingleshwar A, Landon GC, Siff SJ, Barbo A, Lin HY, et al. Psychosocial determinants of total knee arthroplasty outcomes two years after surgery. ACR Open Rheumatol. 2020;2:573–581. doi: 10.1002/acr2.11178. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Matharu GS, Mouchti S, Twigg S, Delmestri A, Murray DW, Judge A, et al. The effect of smoking on outcomes following primary total hip and knee arthroplasty: a population-based cohort study of 117,024 patients. Acta Orthop. 2019;90:559–567. doi: 10.1080/17453674.2019.1649510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Sahota S, Lovecchio F, Harold RE, Beal MD, Manning DW. The effect of smoking on thirty-day postoperative complications after total joint arthroplasty: a propensity score-matched analysis. J Arthroplast. 2018;33:30–35. doi: 10.1016/j.arth.2017.07.037. [DOI] [PubMed] [Google Scholar]
- 90.Duchman KR, Gao Y, Pugely AJ, Martin CT, Noiseux NO, Callaghan JJ. The effect of smoking on short-term complications following total hip and knee arthroplasty. J Bone Jt Surg - Am. 2014;97:1049–1058. doi: 10.2106/JBJS.N.01016. [DOI] [PubMed] [Google Scholar]
- 91.Weick J, Bawa H, Dirschl DR, Luu HH. Preoperative opioid use is associated with higher readmission and revision rates in total knee and total hip arthroplasty. J Bone Jt Surg - Am. 2018;100:1171–1176. doi: 10.2106/JBJS.17.01414. [DOI] [PubMed] [Google Scholar]
- 92.Jain N, Brock JL, Malik AT, Phillips FM, Khan SN. Prediction of complications, readmission, and revision surgery based on duration of preoperative opioid use: analysis of major joint replacement and lumbar fusion. J Bone Jt Surg - Am. 2019;101:384–391. doi: 10.2106/JBJS.18.00502. [DOI] [PubMed] [Google Scholar]
- 93.Shadbolt C, Schilling C, Inacio MC, Abbott JH, Pryymachenko Y, Wilson R, et al. Opioid Use and Total Joint Replacement [Internet] Curr Rheumatol Rep. 2020;22(10):58. doi: 10.1007/s11926-020-00929-0. [DOI] [PubMed] [Google Scholar]
- 94.Shohat N, Muhsen K, Gilat R, Rondon AJ, Chen AF, Parvizi J. Inadequate glycemic control is associated with increased surgical site infection in total joint arthroplasty: a systematic review and meta-analysis [Internet]. J Arthroplast. 2018:2312–2321.e3. Churchill Livingstone Inc.; [cited 2021 Mar 22]. Available from: https://pubmed.ncbi.nlm.nih.gov/29605149/ [DOI] [PubMed]
- 95.Yang Z, Liu H, Xie X, Tan Z, Qin T, Kang P. The influence of diabetes mellitus on the post-operative outcome of elective primary total knee replacement: a systematic review and meta-analysis. Bone Jt J. 2014;96B:1637–1643. doi: 10.1302/0301-620X.96B12.34378. [DOI] [PubMed] [Google Scholar]
- 96.Adams AL, Paxton EW, Wang JQ, Johnson ES, Bayliss EA, Ferrara A, et al. Surgical outcomes of total knee replacement according to diabetes status and glycemic control, 2001 to 2009. J Bone Jt Surg - Ser A. 2013;95:481–487. doi: 10.2106/JBJS.L.00109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Siddiqi A, Warren JA, McLaughlin J, Kamath AF, Krebs VE, Molloy RM, et al. Demographic, comorbidity, and episode-of-care differences in primary total knee arthroplasty. J Bone Joint Surg Am. 2021;103:227–234. doi: 10.2106/JBJS.20.00597. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Not applicable
Not applicable